Variational Analysis and Applications

  • Franco Giannessi
  • Antonino Maugeri

Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 79)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Part 1

    1. Front Matter
      Pages 1-1
    2. M. G. Garroni
      Pages 31-32
    3. O. G. Mancino
      Pages 39-46
    4. Silvia Mazzone
      Pages 47-77
    5. L. Nirenberg
      Pages 79-80
    6. C. Sbordone
      Pages 81-82
    7. G. Stampacchia
      Pages 83-86
  3. Part 2

    1. Front Matter
      Pages 87-87
    2. E. Allevi, A. Gnudi, I. V. Konnov, E. O. Mazurkevich
      Pages 133-146
    3. G. Bigi, M. Pappalardo
      Pages 195-204
    4. A. O. Caruso, M. S. Fanciullo
      Pages 231-237

About this book

Introduction

This book discusses a new discipline, variational analysis, which contains the calculus of variations, differential calculus, optimization, and variational inequalities. To such classic branches of mathematics, variational analysis provides a uniform theoretical base that represents a powerful tool for the applications. The contributors are among the best experts in the field.

 

Audience

The target audience of this book includes scholars in mathematics (especially those in mathematical analysis), mathematical physics and applied mathematics, calculus of variations, optimization and operations research, industrial mathematics, structural engineering, and statistics and economics.

Keywords

Boundary value problem Calculus of Variations Sobolev space Vector optimization analysis linear optimization optimization

Editors and affiliations

  • Franco Giannessi
    • 1
  • Antonino Maugeri
    • 2
  1. 1.University of PisaItaly
  2. 2.University of CataniaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/b105059
  • Copyright Information Springer Science+Business Media, Inc. 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-24209-5
  • Online ISBN 978-0-387-24276-7
  • Series Print ISSN 1571-568X
  • About this book